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Context Aware Firewall Policies

Context Aware Firewall Policies. Ravi Sahita Priya Rajagopal, Pankaj Parmar Intel Corp. June 8 th 2004 IEEE Policy (Security). Overview. Background Motivation Policy goals (example) Intrusion detection->Host<-firewalling Management SAFire Milestone conclusions. Background.

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Context Aware Firewall Policies

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  1. Context Aware Firewall Policies Ravi Sahita Priya Rajagopal, Pankaj Parmar Intel Corp. June 8th 2004 IEEE Policy (Security)

  2. Overview • Background • Motivation • Policy goals (example) • Intrusion detection->Host<-firewalling • Management • SAFire • Milestone conclusions

  3. Background • Why firewall? • Defense in depth against software flaws (software complexity increasing) • Control over services accessed/exposed • Control over information flow across boundaries (platform or network) • Needed: Increased proactive response instead of reactive

  4. Policy goals (example) • Track flow only if the session is initiated by client • By default, restrict all traffic other than allowed services control traffic • Create transient filters for the negotiated data flows • On the negotiated port, restrict access to specific allowed commands/capabilities for that service • When transferring data, block/flag suspicious content (so that it is checked) before it reaches apps • All traffic that causes invalid protocol state transitions must be blocked proactively

  5. Advantages of host based FWs • Visibility into internal traffic – Can protect against internal attacks • Smaller number of flows, More state per flow – Decreased load on aggregation points • Enable finer access control in a mobile environment – Carry your security • Can use end-to-end protocol properties • Allow true end-to-end encryption of traffic which would otherwise be proxied by the network devices

  6. IDS -> Host <- FW

  7. Complex management • Infrastructure firewalls are needed • Host FWs=>number explosion, but valuable • Make security policies easier to map without sacrificing functionality • Make components tend towards autonomous behavior • Make it easier to correlate events across hosts and infrastructure

  8. Why SAFire? • What are the sub-elements of such packet analysis • Allow building finer grain network access control policies • Rich enough to keep up with new network services/changes • Local remediation Abstraction of FW / IDS rules for a host

  9. |---------HOST CONTEXT--------| Capabilities identified • Packet data extraction and filtering • Flow state table management • Application layer rules • Pattern manipulation • Outsourcing policy decisions • Reuse of definitions • Dynamic rule management

  10. Sequence of steps • Express application protocol in a DFA • Map protocol states to the Generic PSM • Extract transition rules from the normalized PSM naming <src, event, dst, action> • Map to SAFire primitives (using tools)

  11. Generic Protocol States Mapped to protocol specifics

  12. Rule processing

  13. Implementation

  14. Conclusions • United model can comprehend HIPS+FWs • Language extensibility = parallel progress • Model allows security policy verification across implementations • Minimal tradeoff is processing overhead for mapping and translation • Context information on the host can be leveraged for finer access control • Initial prototype shows minimal delay from user POV

  15. Thank you! • Questions/Comments to ravi.sahita@intel.com

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